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Contact

Skills

Mathematical Modeling

Machine Learning

Data Analytics and Visualizations

Statistical Analysis

Nanotechnology

Web Design

Programming

Python

R

SQL

Javascript

Matlab

Tools

Tableau

HTML/CSS

Looker Studio

AWS

Adobe

Main

Hannah Luebbering

I am a data scientist particularly interested in the intersection of mathematical modeling, computing, and user interface design. I specialize in synthesizing insights from data using various programming languages and developing cutting-edge, user-centric platforms.

Education

University of Washington

Master of Science - MS, Data Science

N/A

2021\(\bf\hbox{-}\) 2023

Wake Forest University

Bachelor of Science - BS, Applied Mathematics

N/A

2017\(\bf\hbox{-}\) 2021

  • Association for Women in Mathematics, Executive

University of Sydney

Study Abroad, Real Analysis and Python

N/A

2019

  • SUMS, Mathematics Society

Experience

Data Scientist, Digital Advertising Analytics

VuePlanner

New York, New York

2023\(\bf\hbox{-}\) Present

  • Conduct advanced analysis of YouTube and Google Ad metric data to derive insights on video ad performance, audience reach, and optimized bidding strategies.
  • Implement ML models for automating dynamic programmatic auction bids to maximize return on ad spend.

Visualization Developer and Data Analytics Intern

Empower Retirement

Greenwood Village, Colorado

2021\(\bf\hbox{-}\) 2022

  • Analyzed cloud platform data to uncover insights for optimizing resource expenses.
  • Built interactive Tableau dashboards for real-time reporting on costs, capacity, project management, resource allocation, and operational efficiency.

Data Science Pedagogy Research

Lucy McGowan’s Lab, Wake Forest University

Winston-Salem, NC

2020\(\bf\hbox{-}\) 2021

  • Examined best practices for teaching statistical and programming concepts in R.
  • Developed and published interactive tutorials on using Tidyverse for data analysis.
  • Conducted randomized controlled trials using Shiny and Learnr software tools.

Health Data Analytics Intern

Westmead Institute for Medical Research

Sydney, Australia

2019\(\bf\hbox{-}\) 2020

  • Researched data-driven approaches for evaluating biomedical risk factors and decision-making in personalized treatment of chronic diseases.
  • Analyzed electronic health record data for common chronic diseases and developed patient similarity models to generate dynamic treatment insights.

Nanotechnology in Solar Cells Research

Elham Ghadiri’s Nano-Photochemistry Lab

Wake Forest University

2018\(\bf\hbox{-}\) 2020

  • Acquired photoluminescence imaging, spectroscopy, and ultrafast pump-probe microscopy data from solar cell devices.
  • Analyzed data to identify photophysical processes and evaluate device performance of nanostructured films.

Concussion Research Assistant

Wake Forest Innovation Quarter

Winston-Salem, NC

2018\(\bf\hbox{-}\) 2019

  • Collected and analyzed kinematic data from instrumented mouthguard sensors to study the injury biomechanics of head impacts and concussions.

Extracurricular

Association for Women in Mathematics Executive Committee

Wake Forest University

Winston-Salem, NC

2019\(\bf\hbox{-}\) 2021

  • Led and participated in various programs and workshops to mentor students in math.